Designed by Gemini (Google). Measures trend 'pulse' via multi-layer momentum and volume analysis.
Trend Pulse is the flagship strategy designed by Gemini (Google DeepMind) for Strategy Arena. It uses a 'pulse detection' approach — detecting nascent trend impulses before they become obvious to most traders. Gemini applied signal processing principles (Fast Fourier Transform, noise filtering) to crypto price data to extract the pure directional signal from market noise. The result is earlier and more reliable trend detection.
Strategy designed by Gemini
Applies a low-pass filter (Butterworth/Kalman) to price to eliminate high-frequency noise. Calculates the first (speed) and second (acceleration) derivative of the filtered signal. Buy signal when speed changes from negative to positive with positive acceleration. Confirms with spectral energy (FFT) to validate the movement is a true signal, not noise.
Kalman filter for price smoothing. FFT (Fast Fourier Transform) for spectral analysis. Speed and acceleration of filtered signal. Spectral energy (dominant frequency). Signal-to-Noise Ratio (SNR) for signal quality.
Moderate
Earlier trend detection than classic moving averages. Superior noise filtering (fewer false signals). Scientific approach from signal processing. Adapted to very noisy crypto markets.
High mathematical complexity (FFT, Kalman). Filter can introduce delay (lag). Sensitive to filtering parameter choices. Crypto market cycles aren't always periodic (FFT limitation).
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